 ;; range [0.0, 100.0].
 ;;
 ;; The experimental procedure is copied from the paper below. This
-;; procedure uses 70% of the test cases as a training set, and the
+;; procedure uses 70% of the fitness cases as a training set, and the
 ;; remaining 30% as a test set. Each time this file is run, it will
-;; select random training (251 test cases) and test (108 test cases)
-;; sets from the test cases to use throughout the entire run.
+;; select random training (251 fitness cases) and test (108 fitness cases)
+;; sets from the fitness cases to use throughout the entire run.
 ;;
 ;; See this paper for more information about this problem:
 ;; Sara Silva and Leonardo Vanneschi. 2009. Operator equalisation,

;; the method used in the paper above.
(def bioavailability-atom-generators
  (list
    (fn [] (lrand-nth (list 'float_div 'float_mult 'float_add 'float_sub)))
    (fn [] (lrand-nth (for [n (range 241)]
                        (symbol (str "x" n)))))
    ))
